Archives for Veronika Belianska

The Ministry of Interior of the Slovak Republic (MoI) was a proud member of the COMSODE consortium for the duration of the project. The organizations represented in the consortium were coming from various backgrounds and each brought a unique contribution to the table. The software houses (EEA, Spinque) played a key role in designing and delivering the data publishing platform Open Data Node and the related search platform, ADDSEN played a key role in coordinating the project, the universities (UNIMIB, Charles University) made sure the project is in line with up-to-date research. This is of course greatly simplified. What was the contribution of the Ministry of Interior in Slovakia?Read More

In 2011, we formed OpenData.cz as a group of Open Data enthusiasts from Charles University and University of Economics in Prague. In that time, we started promoting Open Data among Czech public bodies as well as prospective consumers. As academicians we also started our own research in the area of Linked Open Data publication, visualization and exploration.During the first two years of our Open Data activities we have developed a lot of contacts with public bodies as well as the community of potential Open Data consumers in the Czech Republic. Read More

With more and more Linked Open Data published, it’s harder for users to consume them. If you publish just one dataset it’s pretty clear what you are offering and what they could consume. With a larger knowledge base, they have to start by learning its structure. In particular, they need to recognize in which dataset they could find the information they are looking for. That’s why we wanted to come up with a tool that would visually help users to explore a knowledge base and more importantly to enable them to visualise its content in a traditional way. Such a tool is our LDVMi, a part of the ODN platform.

While there are many interesting technical topics – eg. producing data linked to other data, automating datasets transformations, data quality assessment, data enrichment – for sure the crucial point is to make content of published datasets easily accessible to users.

In current practice there are two distinct methods how to facilitate access to the data:

batch access implemented by making available files with contents of dataset

query based access to selected parts of data available through application interface (APIs)